Miguel Ángel CárdenasDistributed model training for large scale data using DaskA walkthrough in training machine learning models, that rely on terabytes of data, in a distributed fashion using DASK and LightGBM.May 30, 2022May 30, 2022
Miguel Ángel CárdenasinSemantixProductizing an ML Model with FastAPI and Cloud Run (Part 1)From building an API to serve the model to containerizing and deploying it as a service.Jun 23, 2021Jun 23, 2021
Miguel Ángel CárdenasProbabilistic neural networks in a nutshellFeed-forward artificial neural networks that are closely related to kernel density estimation (KDE)Jun 7, 2021Jun 7, 2021
Miguel Ángel CárdenasinSemantixProcessing Computer Tomography (CT) for Deep Learning Applications.An overview of computed tomography (CT) processing applied to machine learning powered diagnostic imaging tools.May 27, 2021May 27, 2021
